US 12,333,681 B1
Targeted generative visual editing of images
Cheng-Yang Fu, San Francisco, CA (US); Tamara L. Berg, Laguna Beach, CA (US); Andrew Brown, New York, NY (US); Nicole Gallagher, Astoria, NY (US); Sen He, London (GB); Omkar Moreshwar Parkhi, Cupertino, CA (US); Antoine Toisoul, London (GB); Andrea Vedaldi, Oxford (GB); Tao Xiang, Ruislip (GB); and Yanping Xie, London (GB)
Assigned to Meta Platforms Technologies, LLC, Menlo Park, CA (US)
Filed by META PLATFORMS TECHNOLOGIES, LLC, Menlo Park, CA (US)
Filed on Dec. 16, 2022, as Appl. No. 18/067,598.
Int. Cl. G06T 5/50 (2006.01); G06T 9/00 (2006.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01)
CPC G06T 5/50 (2013.01) [G06T 9/00 (2013.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/20221 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
determining, via a processor, a first region of a source image to be blended with a driver image;
inputting, via the processor, a second region of the source image that lies outside of the first region and the driver image into a neural network; and
generating, via the neural network, an output image that includes a third region corresponding to the first region of the source image and a fourth region corresponding to the second region of the source image, wherein the third region includes one or more visual attributes of the driver image and a context associated with the source image and the fourth region includes one or more visual attributes of the second region of the source image and the context associated with the source image.